A leading US Regional Bank offers retail and commercial banking products and services to individuals, small businesses and commercial industries. The US Regional Bank recognized the need to continue strengthening their customer-centric culture and financial discipline to achieve significant growth while maintaining a high standard of excellence.
This objective required leveraging advanced analytics to drive insight, advice, and tailored solutions. It represented the US Regional Bank’s foray into an untrusted AI/Machine Learning territory, which involved using smart analytics to develop trusted and proven models. The US Regional Bank identified its collections function as the first area to target to reap the benefits of this solution.
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Business-led success with AI/ML enabled analytics
Exceeded roll rate lift objective by more than 100%
Delivered expense savings with a reduction in staffing as a result of refined delay queuing and contact strategies
Executed a credible business-led use case that supports expansion to broader data sets and collection functions
Cultivation of trust and a strong belief in the potential of Machine Learning-based models, which are delivering benefits for collections and evaluate for more extensive use